Wick, Christoph
Dr. Christoph Wick

University of Würzburg
Department for Artificial Intelligence
and Applied Computer Science
Am Hubland
D-97074 Würzburg
Room: B015
Phone: +49 931 / 31 - 82067
christoph.wick@uni-wuerzburg.de
PGP-Key: 8E431938 (4A54 9836 DC22 EDDA ED80 992F AE8E FF7A 8E43 1938)
Projects
- Deep Learning
- Entropy Piano Tuner
Publications
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{OMMR}4all — a {Semiautomatic} {Online} {Editor} for {Medieval} {Music} {Notations} in 2nd {International} {Workshop} on {Reading} {Music} {Systems}, J. Calvo-Zaragoza, A. Pacha (eds.) (2019). 31–34.
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State of the Art Optical Character Recognition of 19th Century Fraktur Scripts using Open Source Engines in DHd 2019 Digital Humanities: multimedial & multimodal (2019).
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Automatic Semantic Text Tagging on Historical Lexica by Combining OCR and Typography Classification in Proceedings of the 3rd International Conference on Digital Access to Textual Cultural Heritage (2019).
- [ BibTeX ]
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OCR4all - An Open-Source Tool Providing a (Semi-)Automatic OCR Workflow for Historical Printings in ArXiv Preprints (submitted to MDPI - Applied Sciences) (2019).
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Staff, Symbol and Melody Detection of Medieval Manuscripts Written in Square Notation Using Deep Fully Convolutional Networks in Applied Sciences (2019). 9(13)
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Improving OCR Accuracy on Early Printed Books by combining Pretraining, Voting, and Active Learning in JLCL (2018). 33(1) 3–24.
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Comparison of OCR Accuracy on Early Printed Books using the Open Source Engines Calamari and OCRopus (2018). (Vol. 33) 79–96.
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Transfer Learning for OCRopus Model Training on Early Printed Books (2017).
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Leaf Identification Using a Deep Convolutional Neural Network (2017).
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Improving OCR Accuracy on Early Printed Books by utilizing Cross Fold Training and Voting (2017).
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Fully Convolutional Neural Networks for Page Segmentation of Historical Document Images (2017).
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Playing Music in Just Intonation - A Dynamically Adapting Tuning Scheme (2017).
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Deep Learning in Informatik-Spektrum (2016). 1–5.
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Entanglement formation under random interactions (2015).
Teaching
- Seminar "Aktuelle Trends der künstlichen Intelligenz" - "Deep Learning" (winter term 2015/2016)
- Künstliche Intelligenz 2 (winter term 2015/2016)
- Seminar "Aktuelle Trends der künstlichen Intelligenz" - Wissensmodellierung (summer term 2016)
- Softwaretechnik (summer term 2016)